PKG: A Personal Knowledge Graph for Recommendation

被引：14

作者：

Yang, Yu ^{[1
]}

Lin, Jiangxu ^{[1
]}

Zhang, Xiaolian ^{[2
]}

Wang, Meng ^{[1
]}

机构：

[1] Southeast Univ, Nanjing, Peoples R China

[2] Huawei Technol Co Ltd, Shenzhen, Peoples R China

来源：

PROCEEDINGS OF THE 45TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '22) | 2022年

基金：

中国国家自然科学基金;

关键词：

knowledge graph; recommendation system; neural networks; symbolic system;

D O I：

10.1145/3477495.3531671

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Mobile internet users generate personal data on the devices all the time in this era. In this paper, we demonstrate a novel system for integrating the data of a user from different sources into a Personal Knowledge Graph, i.e., PKG. We show how a user's intention can be detected and how the personal data can be aligned and connected by the user behaviors. The constructed PKG allows the system makes reasonable and accurate recommendations for users by a "neural + symbolic" approach across different services. Our system is shown in https://youtu.be/hWuo8KCDrto.

引用

页码：3334 / 3338

页数：5

共 8 条

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